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Subspecialties Retina, Imaging & Diagnostics

Automated AMD Assistance

What do orbiting satellites and ophthalmic imaging techniques have in common? Both may soon benefit from computerized pattern recognition to improve their accuracy. Researchers from the University of New South Wales applied multispectral, unsupervised pattern recognition – the same method currently used to develop satellite maps – to 184 fundus images to see whether or not the technique might improve their quantification and classification, leading to better diagnosis of diseases like AMD (1).

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About the Author

Michael Schubert

While obtaining degrees in biology from the University of Alberta and biochemistry from Penn State College of Medicine, I worked as a freelance science and medical writer. I was able to hone my skills in research, presentation and scientific writing by assembling grants and journal articles, speaking at international conferences, and consulting on topics ranging from medical education to comic book science. As much as I’ve enjoyed designing new bacteria and plausible superheroes, though, I’m more pleased than ever to be at Texere, using my writing and editing skills to create great content for a professional audience.

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